Ryuji Hamamoto
Ryuji Hamamoto (Ph.D.)
Team Leader


  • Team leader
    Ryuji Hamamoto
  • Deputy team leader
    Masaaki Komatsu
  • Senior research scientist
    Ken Asada
  • Research scientist
    Satoshi Takahashi
  • Research scientist
    Hidenori Machino
  • Postdoctoral researcher
    Amina Bolatkan
  • Postdoctoral researcher
    Hiromi Matsumoto
  • Technical scientist
    Norio Shinkai
  • Technical staff I
    Hiroko Kondo
  • Technical staff I
    Shigemi Yamada
  • Visiting scientist
    Kazuma Kobayashi
  • Visiting scientist
    Syuzo Kaneko
  • Part-time worker I
    Yusuke Sakaguchi


Laboratory's photo

We are conducting multimodal analysis of the omics data such as genome data, epigenome data, medical imaging data [CT, MRI, PET, endoscopy, pathology], proteome data, micro RNA data, cell line data, PDX [Patient-Derived Xenografts] data and clinical information in various types of cancers by machine learning and deep learning to clarify the nature of cancer. On the basis of our findings, we plan to develop novel diagnostic and therapeutic methods for cancer, and will also use them to develop novel anti-cancer drugs.

Main Research Field
Molecular Biology & Genetics
Research Field
Biology & Biochemistry / Immunology / Clinical Medicine / Computer Science
Research Subjects
Analysis of histone modification status in cancer tissues by machine learning and deep learning
Analysis of medical imaging data by machine learning and deep learning
Multi-omics analysis of cancer by machine learning and deep learning

Introduction Video

Talks by Cancer Translational Research Team thumbnails

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posted on September 18, 2018 14:00Pressrelease